Energy-Efficient Routing for Signal Detection in Wireless Sensor Networks

摘要

For many envisioned applications of wireless sensor networks (WSWs), the information processing involves designing with distributed data in the context of accurate signal detection and energy-efficient routing, which have been active research topics for many years, respectively. In this paper, we relate these two aspects via joint optimization. Considering the scenario of using distributed radar-like sensors to detect the presence of an object through active sensing, we formulate the Neyman-Pearson criterion, apparently for the first time. The joint optimization of detection and routing is carried out in a fusion center which precomputes the routes as a function of the geographic location to be monitored. Accordingly, we propose three different routing metrics that aim at an appropriate trade-off between the detection performance and the energy expenditure.